Название: Network Intrusion Detection using Deep Learning: A Feature Learning Approach
Автор: Kwangjo Kim
Издательство: Springer
Год: 2018
Страниц: 79
Формат: PDF, EPUB
Размер: 10 Mb
Язык: English
This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the latest developments in deep learning. In particular, it discusses deep learning applications in IDSs in different classes: generative, discriminative, and adversarial networks. Moreover, it compares various deep learning-based IDSs based on benchmarking datasets. The book also proposes two novel feature learning models: deep feature extraction and selection (D-FES) and fully unsupervised IDS. Further challenges and research directions are presented at the end of the book.
